Result for 007250265E344AFB7CDD81C48AA9F80D91BF221D

Query result

Key Value
FileName./usr/include/thrust/detail/type_traits.h
FileSize21668
MD5736BEB1AE0FE024667240BC386BB5E24
SHA-1007250265E344AFB7CDD81C48AA9F80D91BF221D
SHA-2568751145801E650FBB332C3CD30C42399BF99C9A60B31EF8B355CFEFEC6012C38
SSDEEP384:LbSWRSRIAIhWxitoYJ873rtnN3/vrFrzrwwNxC3ebNto:LPRSRIAIhWxitoYJU7tnN3/vr1wwNxns
TLSHT1C4A2D3621978E6E003AC2A15ED4695399B16A1C52F9F8D9130EF077CCFC2605333ABB7
hashlookup:parent-total3
hashlookup:trust65

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Parents (Total: 3)

The searched file hash is included in 3 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD51ED0367B7B00B2F237322C9802691604
PackageArchx86_64
PackageDescriptionNVIDIA® CUDA™ is a general purpose parallel computing architecture that leverages the parallel compute engine in NVIDIA graphics processing units (GPUs) to solve many complex computational problems in a fraction of the time required on a CPU. It includes the CUDA Instruction Set Architecture (ISA) and the parallel compute engine in the GPU. To program to the CUDA™ architecture, developers can, today, use C++, one of the most widely used high-level programming languages, which can then be run at great performance on a CUDA™ enabled processor. Support for other languages, like FORTRAN, Python or Java, is available from third parties. This package contains the development files needed to build programs that make use of CUDA.
PackageMaintainertmb <tmb>
PackageNamenvidia-cuda-toolkit-devel
PackageRelease1.mga7.nonfree
PackageVersion10.1.168
SHA-131156EB92A3DF9FAC474ED4648BFB34E2AD5DB7B
SHA-25625364F2561589F83318703B65439EDC408F9E9A5C77ECCD5259FCA892B13BEA4
Key Value
MD5F16254696D0A9AC285261EB7EB027F84
PackageArchx86_64
PackageDescriptionNVIDIA® CUDA™ is a general purpose parallel computing architecture that leverages the parallel compute engine in NVIDIA graphics processing units (GPUs) to solve many complex computational problems in a fraction of the time required on a CPU. It includes the CUDA Instruction Set Architecture (ISA) and the parallel compute engine in the GPU. To program to the CUDA™ architecture, developers can, today, use C++, one of the most widely used high-level programming languages, which can then be run at great performance on a CUDA™ enabled processor. Support for other languages, like FORTRAN, Python or Java, is available from third parties. This package contains the development files needed to build programs that make use of CUDA.
PackageMaintainerwally <wally>
PackageNamenvidia-cuda-toolkit-devel
PackageRelease1.2.mga7.nonfree
PackageVersion10.1.168
SHA-1E2E5A64DCE821EF177032E5A49E0CD80C135E2B6
SHA-2567F897ADD351E92FE29C5D0B11D709A7335C88B876F9927F5D3140C50A9BABA98
Key Value
FileSize525512
MD569AF91B2B54523C0610D9DBF2EE3510F
PackageDescriptionThrust - Parallel Algorithms Library Thrust is a parallel algorithms library which resembles the C++ Standard Template Library (STL). Thrust's high-level interface greatly enhances programmer productivity while enabling performance portability between GPUs and multicore CPUs. Interoperability with established technologies (such as CUDA, TBB, and OpenMP) facilitates integration with existing software.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamelibthrust-dev
PackageSectionlibdevel
PackageVersion1.9.5-1
SHA-1174C1B8509C80D8D057B27CE21BF8DAA7932CAF1
SHA-256AD34EEE14C52BCE36E2235D3829DC2E8E1E079201931C29464E28B727A73DFD6